Feasibility of Integrating DICOM Headers into the OMOP Medical Imaging Common Data Model (MI-CDM): A Pilot Study Using Chest CT Data

Kyulee Jeon, Woo Yeon Park, Teri Sippel Schmidt, Paul Nagy, Seng Chan You

Risk of aortic aneurysm or dissection following use of fluoroquinolones: a multinational network cohort study

Jack L Janetzki, Jung Ho Kim, Nicole Pratt, Seng Chan You

Mapping Thai Medicine Terminology to RxNorm: Lessons Learned in Standard Vocabulary Integration

Krittaphas Chaisutyakorn, Peamboon Thomchotpong, Natpatchara Pongjirapat, Jirapat Aiamsopon, Natthawut Adulyanukosol

Enabling Genomic Data Harmonization in OMOP CDM

Erwin Tantoso, Ngiam Kee Yuan, Mukkesh Kumar

Personalised prediction of chronic kidney disease progression in patients with chronic kidney disease stages 3-5: a multicentre study using the machine learning approach

Trung Toan Duong, Minh Tri Nguyen, Chia-Te Liao, Ngoc Hoang Le, Thanh Phuc Phan, Chih-Wei Huang, Jason C. Hsu, Alex P.A Nguyen

Python Framework for Patient-Level Prediction Models

Minh Nguyen (Michael) Bui, Thanh Phuc Phan, Jason C. Hsu, Alex PA. Nguyen

Asian and/or Pacific Islander: Unmasking health disparity within commonly aggregated diverse populations in the US Department of Veterans Affairs.

Benjamin Viernes, Scott L DuVall, Patrick R Alba, Qiwei Gan, Elizabeth E Hanchrow, Mengke Hu, Gregorio Coronado, Andrew M Subica, Curtis Lowery, Scott Hofer, Vicki Shambaugh, Kalani Raphael

Comparative Study of Informer, Prophet, and SARIMA Time Series Forecasting Models for Predicting Pneumonia-Related Hospitalizations and Emergency Room Visits in Elderly Patients Using OMOP-CDM

Seonghwan Shin, Junhyuk Chang, Min-Gyu Kim, Byungjin Choi, Rae Woong Park

Exploring the interplay between metabolic syndrome and brain volume in depression: Basis for Phenotype-Based Classification

Sujin Gan, Narae Kim, Bumhee park, Raewoong park

Applying Machine Learning Techniques to Predict Osteoporosis and Bone Fractures in Chronic Kidney Disease (CKD) Patients on Dialysis

Phat Nguyen Thuan

Oncology Incidence and Prevalence Trends 2005-2021 within the TMUCRD using OHDSI-validated OMOP CMD Standards

Whitney Burton, Phan Thanh Phuc, Phung-Anh Nguyen, Jason C. Hsu

Evaluating the Conversion of EHR data into OMOP CDM for Type 2 Diabetes Mellitus Cohort: Insights for Data Consistency

Burin Boonwatcharapai, Krittaphas Chaisutyakorn, Natthawut Adulyanukosol

Incidence, prevalence and treatment pattern of Parkinson disease from Taipei Medical University: an integration of open-software analytic tools

Phan Thanh-Phuc, Jack Janetzki, Nguyen Phung-Anh, Nicole Pratt, Jason C. Hsu

Enhancing Infectious Disease Data Integration and management through OMOP-CDM in South Korea

Min Ho An, Seok Kim, ByungJin Choi, Sooyoung Yoo, Rae Woong Park, Ji Seon Oh

Enabling i2b2 on OMOP CDM Cohort Data semi-automatically by using Atlas and SQLMesh

Natpatchara Pongjirapat, Natthawut Adulyanukosol

Atlas on Cloud: Utilizing modern cloud infrastructure for hosting OMOP tools

Natpatchara Pongjirapat, Natthawut Adulyanukosol, and Krittaphas Chaisutyakorn

The association between comorbid depression in type 2 diabetes to cardiovascular disease: A cohort OHDSI study

Christianus Heru Setiawan, Phan Thanh-Phuc, Septi Melisa, Muhammad Solihuddin Muhtar, Nguyen Phung-Anh, Jason C. Hsu

Characterizing Asian and Pacific Islander Veterans and Veterans Living Outside the United States

Scott L DuVall, Patrick R Alba, Qiwei Gan, Elizabeth E Hanchrow, Mengke Hu, Gregorio Coronado, Kalani Raphael, Andy Subica, Curtis Lowery, Scott Hofer, Vicki Shambaugh, Benjamin Viernes

Challenges in Conducting Federated Analysis in CyberOncology Project in Japan

Shigemi Matsumoto, Kosuke Tanaka, Liying Pei, Masafumi Okada, Manabu Muto,

From dbt to SQLMesh: Enhancing OMOP CDM Data Conversion Efficiency

Nongnaphat Wongpiyachai, Chinapat Onprasert, Sornchai Manosorn, Natthawut Adulyanukosol

Applying the OMOP Common Data Model to Facilitate Benefit-Risk Assessments of Medicinal Products Using Real-World Data from Singapore and South Korea

Hui Xing Tan, Desmond Chun Hwee Teo, Dongyun Lee, Chungsoo Kim, Jing Wei Neo, Cynthia Sung, Haroun Chahed, Pei San Ang, Doreen Su Yin Ta5, Rae Woong Park, Sreemanee Raaj Dorajoo

Protective Effects of SGLT2 Inhibitors on Cardiovascular-Kidney-Metabolic (CKM) Syndrome Progression in Type 2 Diabetes with Chronic Kidney Disease: A Multi-Center Data Analysis Using OMOP-CDM

Nguyen Phung-Anh; Christianus Heru Setiawan; Ching-Wen Chiu; Phan Thanh-Phuc; Jason C. Hsu

Prediction of Hyponatremia in Cancer Patients Using Machine Learning Based on Oncology CDM

Yeji Lee, Hyunwoo Park, Yul Hwangbo, HyoSoung Cha

A Unified Data Engineering Platform and OMOP-Centric ETL

Narendra Singh Garbyal, Rahul Garg, Vidya Garbyal, Anjanette Nabiyal

Trend analysis in Prevalence of Dementia Medications: a perspective from Taipei Medical University

Septi Melisa, Phan Thanh-Phuc, Nguyen Phung-Anh, Jason C. Hsu

Predicting outcome in emergency room patients with Suspected Gastrointestinal Infection using OMOP-CDM

So Hee Lee, Byungjin Choi, Min Ho An, Junhyuk Chang, Harrin Kim, Rae Woong Park

A Graphical Interface and Workflow Engine for OHDSI Network Study design and execution

Sivanaga Sai Krishna Santan Maddi, Hengxian Jiang, Peter Hoffmann

Explore the opinions and attitudes of the application of common data models in regional databases from the perspective of Chinese people

Yexian Yu, Meng Zhang, Yongqi Zheng, Feng Sun

Electronic Frailty index and hazard of with MACE event in patients with Type 2 diabetes mellitus

Da Eun Hyeon, Sujin Gan, Rae Woong Park

Evaluation of PLIP model performance using pathology images and notes based on OMOP-CDM

Harrin Kim, Min-Gyu Kim, Junhyuk Chang, Rae Woong Park

An Explorative Study about the Latent Space of Clinical Foundation Models Based on a Common Data Model Database

Min-Gyu Kim, Dong Yun Lee, Jinyang Kim, Joon-Kyung Seong, Rae Woong Park

Causal Learning with Large-Scale Propensity Scores to Predict Treatment Outcomes: A Study of Arrhythmia in Adolescents with Attention-deficit/hyperactivity disorder

Junhyuk Chang, Dong Yun Lee, Rae Woong Park

Pharmacoepidemiologic studies applying common data model: A Systematic Review and Bibliometric Analysis

Yongqi Zheng, Meng Zhang, Conghui Wang, ling Gao, Feng Sun

Leveraging Large Language Model for Populating OMOP Oncology CDM from the EHR: Feasibility Study

Subin Kim, Jeong Eun Choi, Chang Jun Ko, Seng Chan You

Exploring Stroke and Cognitive Impaired Patients Using Apache Superset on OMOP OHDSI Dataset

Muhammad Solihuddin Muhtar, Phung Anh (Alex) Nguyen, Jason C. Hsu

Research status of applying common data model in pharmacoepidemiology: a systematic review

Meng Zhang, Yongqi Zheng, Conghui Wang, Ling Gao, Feng Sun

Challenges and recommended solutions of OHDSI implementation in China

Ge Wu, Mengchun Gong